CAIRO - 12 February 2020: "We are entering the cognitive age. Over the next 25 years, advanced AI [Artificial Intelligence] will be the central element of digital transformation that fundamentally changes how businesses operate," Executive Vice President of global consulting firm Protiviti, Cory Gunderson, once said. Protiviti argues in a report that artificial Intelligence (AI) and Machine Learning (ML) are poised to help companies make dramatic shifts in performance, shareholder value and business development within the next two years. "AI opens the door to analyse massive amounts of data and deliver critical insights that organisations across a wide variety of industries can use to improve processes, drive profitability, and increase their competitive advantage," it stated. The research concluded that companies leading the charge with advanced AI are finding that it is a real game changer, while companies that are still lagging behind will soon experience a major disadvantages.

Amazon Personalize is a machine learning service which enables you to personalize your website, app, ads, emails, and more, with custom machine learning models which can be created in Amazon Personalize, with no prior machine learning experience. AWS is pleased to announce that Amazon Personalize now supports ten times more item attributes for modeling in Personalize. Previously, you could use up to five item attributes while building an ML model in Amazon Personalize. This limit is now 50 attributes. You can now use more information about your items, for example, category, brand, price, duration, size, author, year of release etc., to increase the relevance of recommendations.

Artificial intelligence--code that learns--is likely to be humankind's most important invention. It's a 60-year-old idea that took off five years ago when fast chips enabled massive computing and sensors, cameras, and robots fed data-hungry algorithms. We're a couple of years into a new age where machine learning (a functional subset of AI), big data and enabling technologies are transforming every sector. In every sector, there is a big data set behind every question. Every field is computational: healthcare, manufacturing, law, finance and accounting, retail, and real estate.

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Prudential Singapore is offering a free machine learning (ML) course for its 1,200 employees in Singapore, according to a report on Singapore broadsheet The Straits Times. Called "Machine Learning for Humans", the 30-hour course is developed together with Ngee Ann Polytechnic. With training by data scientists from both the public and private sectors, the online course offers assessments are offered for participants to apply what they have learned. It is understood that more than 170 employees have signed up so far. A foundational course called "AI in Finance" offered last year was taken by over 200 employees from Prudential.

With the aim to promote innovations in the edtech space using artificial intelligence, Noida-based edtech startup Extramarks has partnered with Indraprastha Institute of Information Technology Delhi (IIIT-Delhi). In this partnership, Extramarks will help IIIT-Delhi to set up an AI-based research laboratory in the computer science department to the institute. The laboratory will work to find new use cases of AI in the edtech segment. Explaining further how the partnership will work, the director of IIIT-Delhi Ranjan Bose said that with the help of Extramarks, the students will gain practical experience for their constructive research in the field of AI. Ritvik Kulshrestha, CEO of Extramarks Education, said that the company has already implemented AI in the schools where it is already offering digital learning programmes.

The issue of diversity in STEM fields is something which has been spoken about for some time, albeit until recently on a smaller scale. Is the issue of diversity, starting to be recognised at a greater scale in STEM fields? Has there been a shift in the increase in vocalising the discussion and creation of movements and organisations with the sole focus of addressing the concerns of those directly affected. Although increasingly spoken about, what are we doing to address diversity and how can we practically address the issue currently present? We asked some of our friends in STEM for their practical solutions.

The future of artificial intelligence (AI) is here: self-driving cars, grocery-delivering drones and voice assistants like Alexa that control more and more of our lives, from the locks on our front doors to the temperatures of our homes. For example, should an autonomous vehicle swerve into a pedestrian or stay its course when facing a collision? These questions plague technology companies as they develop AI at a clip outpacing government regulation, and have led Seattle University to develop a new ethics course for the public. Launched last week, the free, online course for businesses is the first step in a Microsoft-funded initiative to merge ethics and technology education at the Jesuit university. Seattle U senior business-school instructor Nathan Colaner hopes the new course will become a well-known resource for businesses "as they realize that [AI] is changing things," he said.

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